{"id":"W1854145532","doi":"10.1111/j.1365-2478.2011.00984.x","title":"Stochastic inversion of a gravity field on multiple scale parameters using surface and borehole data","year":2011,"lang":"en","type":"article","venue":"Geophysical Prospecting","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada); Polytechnique Montréal","funders":"","keywords":"Borehole; Geology; Inversion (geology); Downscaling; Environmental geology; Scale (ratio); Geophysics; Geodesy; Hydrogeology; Geotechnical engineering; Seismology; Tectonics; Telmatology; Climate change","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003308639,0.0002907648,0.0002341448,0.00035875,0.0001853086,0.0004346707,0.0004223158,0.000269703,0.0005098255],"category_scores_gemma":[0.001204502,0.0002452754,0.0003289591,0.0003249736,0.000363201,0.0003098335,0.0004272696,0.000335958,0.00007536928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006648483,"about_ca_system_score_gemma":0.001457134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06510051,"about_ca_topic_score_gemma":0.04935439,"domain_scores_codex":[0.9998639,0.00003616724,0.000006181871,0.00002089805,0.00005216021,0.00002068975],"domain_scores_gemma":[0.9996709,0.0001424642,0.00005271321,0.00003714905,0.0000737639,0.00002307728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004041413,0.00001985912,0.003146539,0.00001299319,0.00001784117,0.00005126845,0.00003403458,0.9709338,0.008425595,0.001711433,0.0001771372,0.01542905],"study_design_scores_gemma":[0.000004921454,0.000004434839,0.0005546482,7.182719e-7,0.000001082005,0.000004603445,0.000003680112,0.9985726,0.0005375776,0.0002344488,0.00007821129,0.000003110388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3782212,0.00002699839,0.6193931,0.0001296537,0.00001408588,0.00002971744,0.0002230816,0.0007687372,0.001193446],"genre_scores_gemma":[0.940284,0.00001689493,0.0591469,0.00001358791,0.000005591881,0.00001628887,0.0001761051,0.00002718297,0.0003133496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06510051,"threshold_uncertainty_score":0.1294432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0721165946556486,"score_gpt":0.266471556878103,"score_spread":0.1943549622224544,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}